文章摘要 try，MALDI-TOF-MS）分析及ClinProTools生物信息学方法研究其血清蛋白表达谱，通过神经网络算法（statistical neural networks，SNN）建立图谱诊断模型并进行验证。结果 经数据对比分析找到39个差异有统计学意义的质荷比（m/z）峰（P<
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其主要是令机械臂利用实践及结果通过神经网络算法来控制并调整自身行为从而不断趋向于完成某一目标，进而达到“学习”的目的。
As with Go, the skills required to have a robot manipulate objects, or perform other tasks, can be complex to program by hand.
通过利用合理的学习算法进行训练，神经网络对事物和环境具有很强的自学习、自适应和自组织能力。
Carries on the training through the use reasonable study algorithm, the neural network has to the thing and the environment very strong from the study, auto-adapted and from the organization ability.
只要用户输入对新结构的描述，选择算法库中一种合适的算法就能通过软件自动生成神经网络程序。
Users need only give the description of the new structure designed, then select an appropriate one in the algorithm library, and a neural network program will be generated automatically.
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